将压缩感知应用在稀疏度未知的多天线正交频分复用(multiple-input multiple-output orthogonal frequency division multiplexing,MIM0-OFDM)系统信道估计中,提出一种2级阈值的变步长自适应匹配追踪(variable step size adaptive matching pursuit,VssAMP)算法,利用残差值确定第1级阈值调整稀疏度步长,提高信道稀疏度的估计精确度,利用噪声能量和信噪比(signal to noise ratio,SNR)确定第2级阈值控制算法迭代条件,降低小信噪比时信道重构误差.理论分析和仿真结果表明,该算法减小了初始步长对信道稀疏度估计精确度的影响,解决了VssAMP算法阈值难以确定的问题,相比原算法提高了信道估计精确度.
MIMO-OFDM、稀疏信道估计、压缩感知、匹配追踪
27
TN911.23
国家重大科学仪器设备开发专项2012YQ20022404;重庆市科委科学技术研究项目KJ130537;The National Key Scientific Instrument and Equipment Development Project of China2012YQ20022404;The Science and Technology Research Project of Chongqing Municipal Education CommissionKJ130537